InSkillBoostRoadmap
Roadmap
One road, eleven stages, and an honest order to take them in. Six stages of main road take you from a first Python script to an infrastructure you can deploy, secure and watch; after that the road forks and you pick a speciality. It opens with two free courses, and no stage requires the previous one to have been bought.
Where you areIn progressCleared
Main road
The two tools you never stop using
Python and Git come up every single day, whatever job you end up doing. Both are free here, and neither assumes anything before it.
2 courses~34h1 planned
- Python24hFree
- Git & GitHub10hFree
- Linux & the shellPlanned
Main road
Package it once
The container is the unit everything downstream deals with: pipelines, clusters, managed services. Kubernetes is the long haul of this road, and it is free.
2 courses~48h
Main road
Infrastructure you can review
Clicking through a console builds something nobody can rebuild. Terraform on LocalStack first, where a mistake costs nothing, then the same thing against a real AWS account.
3 courses~52h1 planned
- Terraform with LocalStack28h
- Terraform on AWS12h
- AWS CloudFormation12h
- Ansible & configuration managementPlanned
Main road
Running it on AWS
Compute, network, storage, and the bill that follows. The entry course runs forty hours and starts at account creation, so nothing is skipped.
3 courses~81h
Main road
Shipping without holding your breath
Pipelines, tests and quality gates. This stage is the difference between deploying on a Friday and deploying on a Friday calmly.
2 courses~43h1 planned
- Jenkins & CI/CD25h
- Cloud Quality Engineering18h
- GitHub ActionsPlanned
Main road
Secure it, then watch it
IAM done properly, isolation, encryption, logging, detection — then the metrics that warn you before a customer does. An infrastructure you cannot see is one you cannot defend.
4 courses~111h1 planned
- AWS Cloud Security45h
- Sécurité informatique38h
- CyberOps28h
- AuthenticationPre-order
- Observability: metrics, logs, tracesPlanned
Specialisation
Data engineering
Where the data sits, how it moves, and what it costs to query. SQL comes first because everything after it assumes you have it.
4 courses~67h1 planned
- PostgreSQL22h
- AWS Data Engineering45h
- ElasticsearchPre-order
- Scala & SparkPre-order
- Airflow & data orchestrationPlanned
Specialisation
Building with LLMs
Working software rather than papers: prompting, retrieval, agents, and the assistants that have quietly become part of the job.
4 courses~83h1 planned
- Claude Code30h
- LLM Development38h
- OpenClaw15h
- Machine LearningPre-order
- RAG in productionPlanned
Specialisation
Models in production
Training is the easy half. Tracking, packaging, serving, monitoring and rolling back are what turn a model into a product.
4 courses~92h
Specialisation
The application side
The front and back end you get asked to touch even in an infrastructure role. These five are skeletons for now: the syllabus is published, the lessons are being written.
5 courses
Main road
Get hired, and prove it
The last stage is not technical. A findable portfolio, documented work, interview practice — and a verifiable certificate for every course you finish.
3 courses~12h1 planned
- Tech Job Search5h
- Java Interview Prep7h
- Wiki.jsPre-order
- AWS certification prepPlanned
The road starts free
Python, Git and Kubernetes are open on sign-up, and they cover the first two stages — around eighty hours of work. Take them, see whether this line of work suits you, and only then decide what the rest is worth.